I'm running a multi-class classification experiment using LibSVM.When I check the classification output from the trained model, I see predicted labels, but all the confidence values are equal to zero.I have checked the parameter "calculate confidences" in the LibSVM operator. Am I missing something?Below there's my XML for the process as well as a few lines from my input data.

internally everything is correct, the real confidences are used to predict the label. But you are in 'Read Sparse' you are using an int_sparse_array to store your data.When storing the confidences to this int_sparse_array the confidence values are rounded (and therefore are 0.0 all the time). If you change the datamanagement parameter todouble_sparse_array the correct values should be shown.

Best,Nils

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